ID 原文 译文
47726 实验结果表明，与主流反向粒子群优化算法相比，OPSO-AEM&NIW 算法无论是在计算精度还是计算开销上均具有较强的竞争能力。 Experimental results showOPSO-AEM&NIW algorithm has stronger competitive ability compared with opposition-based particle swarm optimiza-tions and its varieties in both calculation accuracy and computation cost.
47727 为了定量评估机动动作的风险,构建机动动作风险定量评估模型。 In order to quantitatively assess the risk of maneuver, maneuver risk quantitative evaluation model was constructed.
47728 提出使用关键点划分机动动作,并给出了不同风险等级的划分及其含义;由于关键点的风险等级与参数离差划分区间之间的不确定性,使用贝叶斯定理确定关键点处于不同风险等级的概率,并结合不同风险等级的权重得到关键点的风险值; Use the key motor divided into action, and gives the division with different levels of risk and its meaning;Due to the risk level and the deviation of parameters of key division between interval uncertainty, using bayes' theorem to determine the key points in the different level of risk probability, and combined with different level of risk weights to get the key risk value;
47729 由于专家在判断过程中的模糊性及不确定性,使用模糊层次分析法确定不同关键点的权重,最终实现了机动动作风险的定量评估。 Due to the expert fuzzy property and uncertainty in the process of judgment, using fuzzy analytic hierarchy process (ahp) to determine the weight of different key point, finally realize the maneuver the quantitative assessment of risk.
47730 仿真实验部分以典型的机动动作斤斗为例进行研究,通过对斤斗动作实际数据的分析,验证了机动动作风险定量评估模型的有效性。 Simulation experiment section in a typical maneuver fell as a case study, through the analysis of fell action, the actual data, to verify the effectiveness of the maneuver quantitative risk assessment model.
47731 以目标跟踪为背景,研究了单平台上主被动传感器的长期调度问题。 In target tracking as the background, research the single stage main passive sensor scheduling problem for a long time.
47732 通过合理、实时地切换主被动传感器,使得有限时域内的跟踪精度和辐射风险达到合理的平衡。 By reasonable, real-time switch main passive sensors, makes the tracking precision of the limited time domain and the radiation risk to achieve a reasonable balance.
47733 将该调度问题构建成部分可观马氏决策过程(partially observable Markov decision process,POMDP)以同步实现目标跟踪和辐射控制。 Part will be built into the scheduling substantial Markov decision process (partially observables Markov decision process, POMDP) radiation in synchronization to realize target tracking and control.
47734 提出以容积采样法估算长期精度收益,以隐马氏模型滤波器推导长期辐射代价。 Offered to volume precision of sampling method to estimate the long-term benefits, at the hidden markov model filter long-term radiation is derived.
47735 最终将原问题转化成决策树并利用分枝定界法进行求解。 Will ultimately the original problem into the decision tree and use the branch and bound method to solve.